Our weekly summary of notable fundraising and AI acquisitions. This week covers healthcare, enterprise automation, industrial AI and more.

1. Luminai to accelerate growth following $38mn Series B round
   Luminai, an AI-native enterprise automation platform for healthcare operations, has secured USD 38mn for its Series B round of funding led by Peak XV Partners. Other investors are Define Ventures, which is new, General Catalyst and Y Combinator. The financing will support the company’s growth, aligning with large provider organizations that are seeking ways to modernize administrative work in light of mounting cost pressure, staffing constraints and operational complexity. The company will also use the funding to expand product capabilities, grow its engineering team and support additional enterprise customers.This latest round of funding brings the total amount raised to USD 60mn.
2. Plume announces $3.9mn in funding led by AENU
   Plume has said it has completed a USD 3.9mn funding round led by AENU with participation from Y Combinator, Kima Ventures, RAISE Sherpas, Better Angle and Collaborative Fund. The platform, which is deploying AI agents to turn fragmented geospatial data and regulatory documents into territorial intelligence, will use the funding to double its team by the year’s end, launch in new geographies and ship the next phases of the platform.
3. FORWARD.one leads the way for Edmund’s €2.5mn funding round
   Edmund, a Czech industrial AI platform, has raised EUR 2.5mn from FORWARD.one, which led the round, Tensor Ventures and University2Ventures. With the funding, Edmund plans to grow its team, expand across Europe and the US as well as continue to develop its platform into a fully contextual AI-driven system for industrial diagnostics and maintenance.
4. Business intelligence platform Golden Analytics debuts with $7mn Seed
   Golden Analytics, an AI-native business intelligence platform, has raised USD 7mn for its Seed round from NEA, Madrona and Breakers. The company offers users what it refers to as the ‘slider of autonomy,’ a design principle that allows them to dictate how much work is done by the AI versus how much they do themselves—from fully automated workflows to hands-on exploration.